-mission-
- Create the Future with Data -
Study Data Science
In an age when people, goods, and organizations are connected to the network, the accumulated data has been called “the oil of the 21st century” and is a source of innovation.
Collecting a large amount of data is of little value in itself, but being able to utilize that data is of great significance.
『Data Science』
Data science is a basic knowledge requirement for people living in the 21st century.
We are launching a new educational program, the “Data Science+R Program” to enable students to acquire knowledge and skills related to AI and data science.
The program consists of two levels, the “Basic” level during which students acquire the basic knowledge and skills to utilize mathematics, data science, and AI; and the “Applied Basic” level during which students acquire the basic skills to apply their knowledge to their own fields of specialty.
We aim to nurture “innovative and fledgling human resources” who can find new value through interaction between specialized fields and data science.
CURRICULUM
What is the Data Science +R Program?
Ritsumeikan University's “Data Science +R Program” is a mathematical, data science, and AI education program.
This program will foster the knowledge and skills in mathematics, data science, and AI, which are considered the basic knowledge (the so-called “reading, writing, and arithmetic”) of digital society, as well as the basic skills required to design new social systems, products, and services, and the skills necessary to create a sustainable society.
Program Structure
The eleven courses that make up the “Data Science +R Program” can be taken from student’s first-year regardless of their prior knowledge or background in the arts or sciences and allow students to learn in stages.
- Basic Level - Basic Knowledge of Digital Society -
- Applied Basic Level - Acquisition of Practical Knowledge and Skills -
Upon successful completion of the program, students will receive an Open Badge as proof of completion.
What is Open Badge?- Basic
- Applied Basic
- Acquisition of Basic Knowledge of Digital Society -
In the Data Science +R Program (Basic), students acquire knowledge and skills related to AI and data science, which are considered the basic knowledge (the so-called “reading, writing, and arithmetic”) of digital society.
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Information Technology and Society
[Eligible College(s)] Law/Social Sciences/International Relations (Department of International Relations)/Letters/Image Arts and Sciences/Economics/Science and Engineering/ Life Sciences/Pharmaceutical Sciences/Sport and Health Science/Gastronomy Management/Business Administration/Policy Science/Comprehensive Psychology
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Information Ethics and Information Technology
[Eligible College(s)] Information Science and Engineering (except the Information Systems Science and Engineering Course (ISSE))
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IR18-AE114 Data literacy for research design
[Eligible College(s)] International Relations (Department of International Relations/ American University-Ritsumeikan University Joint Degree Program)
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- Introduction to Experimentation
- Professional Ethics
[Eligible College(s)] Information Science and Engineering (Information Systems Science and Engineering Course (ISSE))
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- Algorithm and Programming
- Social Change With AI
[Eligible College(s)] Global Liberal Arts
Completion Requirements
Students earn credits for the courses*1 offered in their college that are included in the program.
- Acquisition of Practical Knowledge and Skills -
In digital society going forward, it is expected that students will acquire basic mathematical knowledge and the ability to connect and design across disciplines, regardless of their field of specialization.
The Data Science +R Program (Applied Basics) fosters talent who can apply and utilize knowledge of mathematics, data science, and AI in various specialized fields.
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データサイエンス・AI基礎
[Eligible College(s)] Law /Social Sciences/International Relations/Letters/Image Arts and Sciences/Economics/Science and Engineering/Information Science and Engineering/Life Sciences/Pharmaceutical Sciences/Sport and Health Science/Gastronomy Management/Business Administration/Policy Science/Comprehensive Psychology
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データエンジニアリング基礎
[Eligible College(s)] Law /Social Sciences/International Relations/Letters/Image Arts and Sciences/Economics/Science and Engineering/Information Science and Engineering/Life Sciences/Pharmaceutical Sciences/Sport and Health Science/Gastronomy Management/Business Administration/Policy Science/Comprehensive Psychology・Foundations of Data Science and AI
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Foundations of Data Science and AI
[Eligible College(s)] Law/International Relations/Image Arts and Sciences/Information Science and Engineering/Policy Science
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Foundations of Data Engineering
[Eligible College(s)] Law/International Relations/Image Arts and Sciences/Information Science and Engineering/Policy Science
Completion Requirements
Students earn credits for the courses*1 offered in their college that are included in the program.
Information Technology and Society
Students will learn about the information technologies that support today’s society, keeping in mind the realization of Society 5.0. In this class, we will examine the changes to corporate activities and civil life caused by information technology using actual examples, while also learning how to read, handle, and explain data obtained through the information society.
- 1st and above
- 2
Information Ethics and Information Technology
Students will fully understand the importance of issues related to information ethics such as intellectual property rights, personal information protection, and information security in the information society, as well as the significance of considering these issues, and will develop the sense of ethics required of information engineers. In addition, by learning about typical information technologies in specific terms through familiar subjects, students will gain an understanding of the role that informatics plays in society and the technologies that are expected of it.
In addition, students will learn how to read, handle, and explain data obtained through the information society.
- 1st and above
- 2
IR18‐AE114 Data literacy for research design
This course investigates the background of the information age and the role of data, describes basic methods for aggregating, visualizing, and statistically analyzing data, and examines the background of information science ethics. Students will learn about models of reasoning and learning in the rapidly growing field of artificial intelligence, as well as examples of AI applications in the real world.
- 1st and above
- 2
Introduction to Experimentation
Students will learn about basic concepts related to data collection and analysis, such as scientific models, experiment design, and measurement, through the use of specific examples.
- 1st and above
- 2
Professional Ethics
Students will learn about the importance of information security and technology protection through such means as intellectual property rights and personal information in information and communications, using actual examples to learn the ethical perspectives necessary for IT engineers.
- 1st and above
- 2
Algorithm and Programming
In addition to learning programming techniques and technical knowledge, students will learn the logic and philosophy of the algorithms behind programming. Classes will include actual programming and algorithm analysis exercises through Project Based Learning (PBL).
- 1st and above
- 4
Social Change With AI
This course focuses on understanding the development of artificial intelligence and its social consequences. In the first half of the course, we will learn and discuss what artificial intelligence is and the AI all around us. In the second half, we will examine how humanity can move forward with artificial intelligence and foster critical, creative thinking.
- 1st and above
- 4
データサイエンス・AI基礎
Data science is the study of creating new value from data, based on mathematics, statistics and informatics, while integrating various specialized knowledge.
Students learn the basics about AI and machine learning necessary for data science, and how they are useful tools for solving various problems in society.
- 1st and above
- 2
データエンジニアリング基礎
In order to utilize data and discover new insights, students need to have the skills to handle and operate data appropriately.
While learning the basics about programming and mathematics with exercises, students will learn how to handle various types of data and apply methodology.
- 1st and above
- 2
Foundations of Data Science and AI
Students will learn knowledge and skills related to data science and AI in a complementary and developmental manner, with a view to applying data science and AI to their specialized fields. In this course, students will learn the position of data science in a data-driven society, AI as a catalyst for social transformation through DX, history, ethics, and other knowledge that it is desirable to acquire in order to make use of AI. In addition, students will learn the knowledge and skills required to build and operate AI, such as how to learn and create AI, through exercises, and acquire the basic concepts for actual utilization of AI.
- 1st and above
- 2
Foundations of Data Engineering
Students learn knowledge and skills related to data engineering to analyze and utilize data aggregated by the development of ICT, with a view to applying data science and AI to their specialized fields.
In this course, students will acquire the basic knowledge of statistics and mathematics necessary to process data, as well as the knowledge and skills in processing and expression necessary to create new value from the collected and accumulated data.
In addition, students acquire the knowledge and skills necessary to actually utilize the data through PBL exercises based on actual data, from acquisition to processing and analysis.
- 1st and above
- 2
PROGRAM CONTENT
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No Prior Knowledge Required
Each person's prior mathematical and programming knowledge differs.
The Data Science+R Program is designed so that all students can learn the basics whether they have a background in the sciences or in the humanities.
Students who are uncertain about taking a course can feel assured that they will be able to acquire the knowledge they wish to without difficulty.
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Skills You Will Acquire
The Data Science+R program is designed to help students apply their knowledge and skills in mathematics, data science, and AI to their field of specialization.
Students will expand and develop their learning going back and forth between the program and their own major field of specialization.
Skills Students Will Acquire
- Data analysis and expression skills
- programming skills
- AI application skills
- information ethics
- management skills
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A New Educational Model*Applied Basic level only
The DX (Digital Transformation) Platform for Tertiary Education, “Schoo Swing” has been introduced to provide detailed support to all students.
The on-demand course materials for each class include a section-by-section confirmation test and interactive lessons that allow students to post reactions and comments in the videos.
It is a new educational model that allows students to watch the videos multiple times, anytime, anywhere, and also receive one-on-one instruction.
Read more (Coming soon)
UPDATES
The Data Science+R Program will establish an inspection and evaluation system and conduct successive self-inspection and evaluations based on learning outcomes, class surveys, and external opinions.
Information on program content, including the results of self-assessment and external opinions, will be made public on occasion.
Inspection and Evaluation System
- Academic Affairs Committee Members:
- Dean of Academic Affairs (Chair), Associate Dean of Academic Affairs, Associate Deans of Colleges, Associate Deans of Graduate Schools, Director of Center for Teaching and Learning, Director of the Center for Teacher Education, Director of the Liberal Arts Center, Director of the Language Education Center, Dean of the Division of International Affairs
PARTNERS
The Data Science+R Program (Applied Basic) level courses incorporate practical Project Based Learning (PBL) to address issues in the field based on data from the real world.
To Company RepresentativesCERTIFICATION
Ritsumeikan University's “Data Science+R Program” is accredited by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) under its MDASH (Mathematics, Data Science and AI Smart Higher Education) Certification Program.
- Literacy Level (Certification expires March 31, 2028)
Click here for details of these initiatives
FAQ
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- Data Science+R is a new educational program that enables students to acquire knowledge and skills in AI and data science. Courses are offered with the aim of empowering students to apply knowledge and skills related to mathematics, data science, and AI to their own field of specialization, and for them to evolve and develop their learning through going back and forth between their field of specialization and data science.
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- Knowledge and skills related to mathematics, data science, and AI, also known as the “reading, writing, and arithmetic” of today's digital society, are the basic knowledge for success in all areas of society, regardless of whether in the humanities or the sciences.
Ritsumeikan University, in its R2030 Ritsumeikan Academy Vision and Challenge Design, states that in light of the fact that digital technology continues to spread at an increasingly rapid pace, we need to anticipate that data science and digital technology will become essential for general-purpose intellectual production skills, regardless of the field. Through this program, we aim to cultivate human resources who will be sought after by society.
- Knowledge and skills related to mathematics, data science, and AI, also known as the “reading, writing, and arithmetic” of today's digital society, are the basic knowledge for success in all areas of society, regardless of whether in the humanities or the sciences.
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- The program consists of two levels, the “Basic” level during which students acquire the basic knowledge and skills to utilize mathematics, data science, and AI; and the “Applied Basic” level during which students acquire the basic skills to apply their knowledge to their own specialized fields.
Since the program is structured so students systematically acquire knowledge and skills related to mathematics, data science, and AI, students are encouraged to take both the “Basic” level and the “Applied Basic” level courses.
<Skills You Will Acquire>
Data analysis and representation skills / Programming skills / AI application skills / Information ethics / Management skills
- The program consists of two levels, the “Basic” level during which students acquire the basic knowledge and skills to utilize mathematics, data science, and AI; and the “Applied Basic” level during which students acquire the basic skills to apply their knowledge to their own specialized fields.
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- Courses offered differ depending on the college you belong to.
Please be sure to check the Study Handbook for available courses and detailed completion requirements.
- Courses offered differ depending on the college you belong to.
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- No, the program is structured to allow students to learn the basics whether their background is in the humanities or the sciences, so that they can acquire knowledge and skills without any prior knowledge.
“Applied Basic” level courses, which are offered completely on-demand, also has a system that allows students to receive one-on-one instruction, so those who are uncertain about taking one of these courses can feel assured that they will acquire the knowledge they wish to, without difficulty.
- No, the program is structured to allow students to learn the basics whether their background is in the humanities or the sciences, so that they can acquire knowledge and skills without any prior knowledge.
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- A “Open Badge” will be issued to students who have fulfilled the completion requirements for both “Basic” level and “Applied Basic” level courses.